Examples of org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob

Package org.apache.hadoop.mapreduce.lib.jobcontrol

Examples of org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob

org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob
This class encapsulates a MapReduce job and its dependency. It monitors the states of the depending jobs and updates the state of this job. A job starts in the WAITING state. If it does not have any depending jobs, or all of the depending jobs are in SUCCESS state, then the job state will become READY. If any depending jobs fail, the job will fail too. When in READY state, the job can be submitted to Hadoop for execution, with the state changing into RUNNING state. From RUNNING state, the job can get into SUCCESS or FAILED state, depending the status of the job execution.


    Job countingJob = getCountingJob(postInput, countingOutput);


    int code = 1;
    if (countingJob.waitForCompletion(true)) {
      ControlledJob binningControlledJob = new ControlledJob(
          getBinningJobConf(countingJob, countingOutput, userInput,
              binningOutputRoot));


      ControlledJob belowAvgControlledJob = new ControlledJob(
          getAverageJobConf(binningOutputBelow, belowAverageRepOutput));
      belowAvgControlledJob.addDependingJob(binningControlledJob);


      ControlledJob aboveAvgControlledJob = new ControlledJob(
          getAverageJobConf(binningOutputAbove, aboveAverageRepOutput));
      aboveAvgControlledJob.addDependingJob(binningControlledJob);


      JobControl jc = new JobControl("AverageReputation");
      jc.addJob(binningControlledJob);
      jc.addJob(belowAvgControlledJob);
      jc.addJob(aboveAvgControlledJob);

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          Iterator<ControlledJob> it = getJobs(jobsInProgress).iterator();
          if (!it.hasNext()) {
              stop();
          }
          while(it.hasNext()) {
            ControlledJob j = it.next();
            log.debug("Checking state of job "+j);
            switch(checkState(j)) {
            case SUCCESS:
              getJobs(successfulJobs).add(j);
              it.remove();

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        }


        synchronized(this) {
          Iterator<ControlledJob> it = getJobs(jobsInProgress).iterator();
          while(it.hasNext()) {
            ControlledJob j = it.next();
            log.debug("Checking state of job "+j);
            switch(checkState(j)) {
            case SUCCESS:
              getJobs(successfulJobs).add(j);
              it.remove();

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    Configuration conf = new Configuration();
    if (descriptors != null) {
      conf = setAggregatorDescriptors(descriptors);
    }
    Job job = createValueAggregatorJob(conf, args);
    ControlledJob cjob = new ControlledJob(job, dependingJobs);
    theControl.addJob(cjob);
    return theControl;
  }

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